Prometheus: Up & Running. 2nd Edition - Helion

ebook

Autor: Julien Pivotto, Brian Brazil
ISBN: 9781098131104
stron: 418, Format: ebook
Data wydania: 2023-04-05
Księgarnia: Helion

Cena książki: 203,15 zł (poprzednio: 236,22 zł)
Oszczędzasz: 14% (-33,07 zł)

Osoby, które kupiły tę książkę, wybierały także »

Get up to speed with Prometheus, the metrics-based monitoring system used in production by tens of thousands of organizations. This updated second edition provides site reliability engineers, Kubernetes administrators, and software developers with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters.

Prometheus server maintainer Julien Pivotto and core developer Brian Brazil demonstrate how you can use Prometheus for application and infrastructure monitoring. This book guides you through Prometheus setup, the Node Exporter, and the Alertmanager, and then shows you how to use these tools for application and infrastructure monitoring. You'll understand why this open source system has continued to gain popularity in recent years.

You will:

Know where and how much instrumentation to apply to your application code
Monitor your infrastructure with Node Exporter and use new collectors for network system pressure metrics
Get an introduction to Grafana, a popular tool for building dashboards
Use service discovery and the new HTTP SD monitoring system to provide different views of your machines and services
Use Prometheus with Kubernetes and examine exporters you can use with containers
Discover Prom's new improvements and features, including trigonometry functions
Learn how Prometheus supports important security features including TLS and basic authentication

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Spis treści

Prometheus: Up & Running. 2nd Edition eBook -- spis treści

Preface
- Expanding the Known
- The Evolution of Prometheus
- Conventions Used in This Book
- Using Code Examples
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
I. Introduction
1. What Is Prometheus?
- What Is Monitoring?
  - A Brief and Incomplete History of Monitoring
  - Categories of Monitoring
    - Profiling
    - Tracing
    - Logging
    - Metrics
- Prometheus Architecture
  - Client Libraries
  - Exporters
  - Service Discovery
  - Scraping
  - Storage
  - Dashboards
  - Recording Rules and Alerts
  - Alert Management
  - Long-Term Storage
- What Prometheus Is Not
2. Getting Started with Prometheus
- Running Prometheus
- Using the Expression Browser
- Running the Node Exporter
- Alerting
II. Application Monitoring
3. Instrumentation
- A Simple Program
- The Counter
  - Counting Exceptions
  - Counting Size
- The Gauge
  - Using Gauges
  - Callbacks
- The Summary
- The Histogram
  - Buckets
- Unit Testing Instrumentation
- Approaching Instrumentation
  - What Should I Instrument?
    - Service instrumentation
    - Library instrumentation
  - How Much Should I Instrument?
  - What Should I Name My Metrics?
    - Characters
    - snake_case
    - Metric suffixes
    - Units
    - Name
    - Library
4. Exposition
- Python
  - WSGI
  - Twisted
  - Multiprocess with Gunicorn
- Go
- Java
  - HTTPServer
  - Servlet
- Pushgateway
- Bridges
- Parsers
- Text Exposition Format
  - Metric Types
  - Labels
  - Escaping
  - Timestamps
  - check metrics
- OpenMetrics
  - Metric Types
  - Labels
  - Timestamps
5. Labels
- What Are Labels?
- Instrumentation and Target Labels
- Instrumentation
  - Metric
  - Multiple Labels
  - Child
- Aggregating
- Label Patterns
  - Enum
  - Info
- When to Use Labels
  - Cardinality
6. Dashboarding with Grafana
- Installation
- Data Source
- Dashboards and Panels
  - Avoiding the Wall of Graphs
- Time Series Panel
  - Time Controls
- Stat Panel
- Table Panel
- State Timeline Panel
- Template Variables
III. Infrastructure Monitoring
7. Node Exporter
- CPU Collector
- Filesystem Collector
- Diskstats Collector
- Netdev Collector
- Meminfo Collector
- Hwmon Collector
- Stat Collector
- Uname Collector
- OS Collector
- Loadavg Collector
- Pressure Collector
- Textfile Collector
  - Using the Textfile Collector
  - Timestamps
8. Service Discovery
- Service Discovery Mechanisms
  - Static
  - File
  - HTTP
  - Consul
  - EC2
- Relabeling
  - Choosing What to Scrape
  - Target Labels
    - replace
    - job, instance, and __address__
    - labelmap
    - Case
    - Lists
- How to Scrape
  - metric_relabel_configs
    - labeldrop and labelkeep
  - Label Clashes and honor_labels
9. Containers and Kubernetes
- cAdvisor
  - CPU
  - Memory
  - Labels
- Kubernetes
  - Running in Kubernetes
  - Service Discovery
    - Node
    - Service
    - Endpointslice
    - Pod
    - Ingress
  - kube-state-metrics
- Alternative Deployments
10. Common Exporters
- Consul
- MySQLd
- Grok Exporter
- Blackbox
  - ICMP
  - TCP
  - HTTP
  - DNS
  - Prometheus Configuration
11. Working with Other Monitoring Systems
- Other Monitoring Systems
- InfluxDB
- StatsD
12. Writing Exporters
- Consul Telemetry
- Custom Collectors
  - Labels
- Guidelines
IV. PromQL
13. Introduction to PromQL
- Aggregation Basics
  - Gauge
  - Counter
  - Summary
  - Histogram
- Selectors
  - Matchers
  - Instant Vector
  - Range Vector
  - Subqueries
  - Offset
  - At Modifier
- HTTP API
  - query
  - query_range
    - Aligned data
14. Aggregation Operators
- Grouping
  - without
  - by
- Operators
  - sum
  - count
    - Unique label values
  - avg
  - group
  - stddev and stdvar
  - min and max
  - topk and bottomk
  - quantile
  - count_values
15. Binary Operators
- Working with Scalars
  - Arithmetic Operators
  - Trigonometric Operator
  - Comparison Operators
    - bool modifier
- Vector Matching
  - One-to-One
  - Many-to-One and group_left
  - Many-to-Many and Logical Operators
    - or operator
    - unless operator
    - and operator
- Operator Precedence
16. Functions
- Changing Type
  - vector
  - scalar
- Math
  - abs
  - ln, log2, and log10
  - exp
  - sqrt
  - ceil and floor
  - round
  - clamp, clamp_max, and clamp_min
  - sgn
  - Trigonometric Functions
- Time and Date
  - time
  - minute, hour, day_of_week, day_of_month, day_of_year, days_in_month, month, and year
  - timestamp
- Labels
  - label_replace
  - label_join
- Missing Series, absent, and absent_over_time
- Sorting with sort and sort_desc
- Histograms with histogram_quantile
- Counters
  - rate
  - increase
  - irate
  - resets
- Changing Gauges
  - changes
  - deriv
  - predict_linear
  - delta
  - idelta
  - holt_winters
- Aggregation Over Time
17. Recording Rules
- Using Recording Rules
- When to Use Recording Rules
  - Reducing Cardinality
  - Composing Range Vector Functions
  - Rules for APIs
  - How Not to Use Rules
- Naming of Recording Rules
V. Alerting
18. Alerting
- Alerting Rules
  - for
  - Alert Labels
  - Annotations and Templates
  - What Are Good Alerts?
- Configuring Alertmanagers in Prometheus
  - External Labels
19. Alertmanager
- Notification Pipeline
- Configuration File
  - Routing Tree
    - Grouping
    - Throttling and repetition
  - Receivers
    - Notification templates
    - Resolved notifications
  - Inhibitions
- Alertmanager Web Interface
VI. Deployment
20. Server-Side Security
- Security Features Provided by Prometheus
- Enabling TLS
- Advanced TLS Options
- Enabling Basic Authentication
21. Putting It All Together
- Planning a Rollout
- Growing Prometheus
- Going Global with Federation
- Long-Term Storage
- Running Prometheus
  - Hardware
  - Configuration Management
  - Networks and Authentication
- Planning for Failure
  - Alertmanager Clustering
  - Meta- and Cross-Monitoring
- Managing Performance
  - Detecting a Problem
  - Finding Expensive Metrics and Targets
    - Hashmod
  - Reducing Load
  - Horizontal Sharding
- Managing Change
- Getting Help
Index